Research on the face pattern space division in images based on their different views

Zhixiang He; Xiaoqing Ding; Chi Fang; Yanwei Wang

doi:10.1117/12.2044623

3 March 2014 Research on the face pattern space division in images based on their different views

Zhixiang He, Xiaoqing Ding, Chi Fang, Yanwei Wang

Proceedings Volume 9027, Imaging and Multimedia Analytics in a Web and Mobile World 2014; 90270M (2014) https://doi.org/10.1117/12.2044623
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

Abstract

Different face views project different face topology in 2D images. The unified processing of face images with less topology different related to smaller range of face view angles is more convenient, and vice versa. Thus many researches divided the entire face pattern space form multiview face images into many subspaces with small range of view angles. However, large number of subspaces is computationally demanding, and different face processing algorithms take different strategies to handle the view changing. Therefore, the research of proper division of face pattern space is needed to ensure good performance. Different from other researches, this paper proposes an optimal view angle range criterion of face pattern space division in theory by careful analysis on the structure differences of multiview faces and on the influence to face processing algorithms. Then a face pattern space division method is proposed. Finally, this paper uses the proposed criterion and method to divide the face pattern space for face detection and compares with other division results. The final results show the proposed criterion and method can satisfy the processing performance with minimum number of subspace. The study in this paper can also help other researches which need to divide pattern space of other objects based on their different views.

Citation Download Citation

Zhixiang He, Xiaoqing Ding, Chi Fang, and Yanwei Wang "Research on the face pattern space division in images based on their different views", Proc. SPIE 9027, Imaging and Multimedia Analytics in a Web and Mobile World 2014, 90270M (3 March 2014); https://doi.org/10.1117/12.2044623

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KEYWORDS

Facial recognition systems

Sensors

Image processing

Analytical research

Detection and tracking algorithms

Silicon

Nose

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